Neural Network Models of Cognition
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Course Description
Neural Network models of cognitive and developmental processes and the neural basis of these processes, including contemporary deep learning models. Students learn about fundamental computational principles and classical as well as contemporary applications and carry out exercises in the first six weeks, then undertake projects during the last four weeks of the quarter. Some background in computer programming, familiarity with differential equations, linear algebra, and probability theory, and one or more courses in cognition, cognitive development or cognitive/systems neuroscience is required.
Grading Basis
RLT - Letter (ABCD/NP)
Min
4
Max
4
Course Repeatable for Degree Credit?
No
Course Component
Seminar
Enrollment Optional?
No
Does this course satisfy the University Language Requirement?
No
Programs
PSYCH209
is a
completion requirement
for: